Land-cover classification in a moist tropical region of Brazil with Landsat TM imagery.

@article{Li2011LandcoverCI,
  title={Land-cover classification in a moist tropical region of Brazil with Landsat TM imagery.},
  author={Guiying Li and Dengsheng Lu and Emilio Moran and Scott S. Hetrick},
  journal={International journal of remote sensing},
  year={2011},
  volume={32 23},
  pages={8207-8230}
}
This research aims to improve land-cover classification accuracy in a moist tropical region in Brazil by examining the use of different remote sensing-derived variables and classification algorithms. Different scenarios based on Landsat Thematic Mapper (TM) spectral data and derived vegetation indices and textural images, and different classification algorithms - maximum likelihood classification (MLC), artificial neural network (ANN), classification tree analysis (CTA), and object-based… CONTINUE READING
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